Infyuva Tech Solutions

Excellence in Healthcare AI Solutions

We are an Indian-based company started by an alumnus of the Indian Institute of Science, Bangalore. We undertake research and development to promote excellence and leadership in signal processing, machine learning, deep learning, healthcare diagnostics, and biomedical engineering.

We, at Infyuva, developing a complete iCare smartphone-based hardware and software solution that can cater to a wide range of retinal pathologies such as glaucoma, diabetic retinopathy, macular degeneration, micro aneurysm detection, retinal oxygen saturation estimation, and many more.

iCare: Smart-Phone based Solutions

Glaucoma Severity Grading

Early detection and diagnosis of glaucoma requires a careful and comprehensive eye examination, and modern digital technology could aid in rapid assessment. For details click here

Macular Degeneration

Maculopathy is one of the leading causes of vision loss. For identification of the stage and severity of maculopathy, it is important to segment the fovea and its surrounding regions within the macula. For details click here

Retinal Oxygen Saturation Estimation

Inadequate delivery and abnormal utilization of oxygen alter the normal functioning of the retina and trigger diseases leading to vision impairment. For details click here

Diabetic Retinopathy

Early detection and treatment of diabetic retinopathy is very crucial as it is a progressive disease and cause blindness. For details click here

Microaneurysm Detection

Microaneurysms screening and detection will help in early detection of diabetic retinopathy and reduction of eye injuries. For details click here

GLAUCOMA PRESCREEING APP

Releasing Soon!!!

Retinal fundus images are critical in diagnosis of vision-related diseases such as glaucoma, diabetic retinopathy, macular degeneration, macular edema, diabetic maculopathy, etc. Retinal fundus examination also makes it to predict neurological and cardiovascular disorders. Although several fundus image databases are available, there is still a lack of glaucoma-specific fundus image database with a large number of images having manual annotations (ground-truth) of both optic disc (OD) and optic cup (OC) and also a decision on the glaucoma severity. We have created a comprehensive and large glaucoma-specific retinal fundus images database with 1500 images corresponding to both glaucomatous and normal conditions. We provide OD and OC manual segmentation ground-truth and a decision on glaucoma severity grading by five expert ophthalmologists. The database will be made publicly available very soon to enable fellow researchers to validate their segmentation and classification algorithms.